Update README.md

README.md

@@ -72,6 +72,49 @@ Users (both direct and downstream) should be made aware of the risks, biases and
 ## How to Get Started with the Model
 
 Use the code below to get started with the model.
+Install dependencies: torch, torchcodec, torchaudio, flashlight-text (for CTC Decoder), huggingface transformers (to use this model), KenLM (for using LM), 
+
+```
+!pip install torch
+!pip install torchcodec
+!pip install torchaudio
+!pip install flashlight-text
+!pip install transformers
+```
+
+```
+!git clone https://github.com/kpu/kenlm.git
+!sudo apt-get install libboost-all-dev --fix-missing # For colab
+
+%cd kenlm
+!mkdir -p build
+%cd build
+!cmake ..
+!make -j 1
+%cd ..
+!export KENLM_ROOT=$PWD
+!export USE_CUDA=0 ## for cpu
+%cd ..
+
+%cd kenlm
+!pip install .
+%cd ..
+```
+
+Transliteration repo for disambiguation pipeline:
+
+```
+!pip install nepali-num2word
+!git clone https://github.com/adkta/nepali_arabic_num_to_word.git
+!python -m pip install -U symspellpy
+!rm -r /content/transliteration
+!git clone https://github.com/adkta/transliteration.git
+```
+
+```python
+
+
+```
 
 [More Information Needed]
 
@@ -178,7 +221,7 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
 
 ```bibtex
 @mastersthesis{nep_en_cm_asr_devkota_2026,
-  author  = "Devkota, Ashish and Joshi, Basanta",
+  author  = "Devkota, Ashish",
   title   = "Beyond Monolingual: Leveraging Multilingual Pre-trained Models for End-to-End Nepali-English Code-mixed Speech Recognition",
   school  = "Tribhuvan University",
   year    = "2026",